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Lead Data DevOps Engineer (AWS)
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Summary: Lead Data DevOps Engineer with AWS expertise to develop and optimize scalable, secure cloud data platforms, guiding technical strategy and mentoring the team. Highlights: 1. Lead development and optimization of scalable, secure cloud data platforms 2. Guide technical strategy and mentor engineers across experience levels 3. Shape cutting-edge data ecosystems with AWS, Python, and DevOps practices Join our team as a Lead Data DevOps Engineer with AWS expertise, where you will lead the development and optimization of scalable, secure cloud data platforms. Your expertise in AWS, Python, and DevOps practices will guide technical strategy, mentor your team, and ensure delivery of robust data infrastructure solutions. Apply today to help shape cutting\-edge data ecosystems. **Responsibilities** * Design and drive the deployment and enhancement of scalable AWS data infrastructure including ECS, RDS, Athena, Glue, and Redshift * Develop and promote Infrastructure as Code workflows using Terraform and AWS CloudFormation * Collaborate with analytics and engineering teams to optimize data pipelines leveraging Python and AWS Glue * Define and maintain best practices for CI/CD pipeline management with GitHub Actions, Jenkins, and AWS CodePipeline * Lead efforts to improve system scalability, reliability, performance, and cost\-effectiveness * Evaluate and implement advanced data processing frameworks such as Apache Airflow and Apache Spark (EMR) * Manage critical AWS infrastructure incidents and perform root cause analysis * Enforce advanced security configurations including IAM policies, encryption, and compliance * Plan capacity, optimize resources, and manage costs for core data platform services * Guide and mentor engineers across experience levels, serving as a technical authority * Partner with leadership to prioritize initiatives and set delivery roadmaps * Encourage a culture of innovation and engineering excellence **Requirements** * Over 5 years of professional experience in cloud\-focused Data Engineering or DevOps roles * Minimum 1 year of experience in a leadership position * Strong Python programming skills for workflow automation * Advanced proficiency in SQL for large dataset management * Deep expertise in AWS data services such as Redshift, Glue, EMR, Athena, and S3 * Hands\-on experience with Infrastructure as Code tools, including Terraform and AWS CloudFormation * Experience building and maintaining CI/CD pipelines with tools like Jenkins and GitHub Actions * Knowledge of distributed data processing and orchestration frameworks including Apache Spark and Apache Airflow * Solid Linux administration and container orchestration knowledge (Docker, AWS ECS/EKS) * Comprehensive understanding of cloud networking and troubleshooting in AWS * Proven skills with data streaming platforms like Apache Kafka * Demonstrated leadership abilities and team mentoring experience * English fluency at B2\+ level **Nice to have** * Experience with other cloud platforms such as Azure or GCP * Familiarity with data analysis and visualization tools like R, Tableau, or Power BI * Knowledge of CI/CD platforms such as Bamboo and configuration management * Experience designing secure hybrid cloud and on\-premises solutions * Practical experience managing Kubernetes clusters on AWS EKS/ECS

Source:  indeed View original post
Valentina Rodríguez
Indeed · HR

Company

Indeed
Valentina Rodríguez
Indeed · HR
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